Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Yujia, Yang, Chenxi, Li, Dingquan, Ding, Jianhao, Jiang, Tingting |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond Score Changes: Adversarial Attack on No-Reference Image Quality Assessment from Two Perspectives
by: Yang, Chenxi, et al.
Published: (2024)
by: Yang, Chenxi, et al.
Published: (2024)
Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method
by: Yang, Chenxi, et al.
Published: (2024)
by: Yang, Chenxi, et al.
Published: (2024)
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics
by: Gushchin, Alexander, et al.
Published: (2024)
by: Gushchin, Alexander, et al.
Published: (2024)
Versatile Defense Against Adversarial Attacks on Image Recognition
by: Zhang, Haibo, et al.
Published: (2024)
by: Zhang, Haibo, et al.
Published: (2024)
Black-box Adversarial Attacks Against Image Quality Assessment Models
by: Ran, Yu, et al.
Published: (2024)
by: Ran, Yu, et al.
Published: (2024)
IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics
by: Shumitskaya, Ekaterina, et al.
Published: (2024)
by: Shumitskaya, Ekaterina, et al.
Published: (2024)
BadRefSR: Backdoor Attacks Against Reference-based Image Super Resolution
by: Yang, Xue, et al.
Published: (2025)
by: Yang, Xue, et al.
Published: (2025)
Secure Video Quality Assessment Resisting Adversarial Attacks
by: Zhang, Ao-Xiang, et al.
Published: (2024)
by: Zhang, Ao-Xiang, et al.
Published: (2024)
Susceptibility of Adversarial Attack on Medical Image Segmentation Models
by: Wang, Zhongxuan, et al.
Published: (2024)
by: Wang, Zhongxuan, et al.
Published: (2024)
Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges
by: Dong, Junhao, et al.
Published: (2023)
by: Dong, Junhao, et al.
Published: (2023)
Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks
by: Antsiferova, Anastasia, et al.
Published: (2023)
by: Antsiferova, Anastasia, et al.
Published: (2023)
Demonstration of an Adversarial Attack Against a Multimodal Vision Language Model for Pathology Imaging
by: Thota, Poojitha, et al.
Published: (2024)
by: Thota, Poojitha, et al.
Published: (2024)
Training-Free Defense Against Adversarial Attacks in Deep Learning MRI Reconstruction
by: Saberi, Mahdi, et al.
Published: (2025)
by: Saberi, Mahdi, et al.
Published: (2025)
MLIC: Multi-Reference Entropy Model for Learned Image Compression
by: Jiang, Wei, et al.
Published: (2022)
by: Jiang, Wei, et al.
Published: (2022)
Gradient-Free Adversarial Purification with Diffusion Models
by: Dai, Xuelong, et al.
Published: (2025)
by: Dai, Xuelong, et al.
Published: (2025)
Perception- and Fidelity-aware Reduced-Reference Super-Resolution Image Quality Assessment
by: Lin, Xinying, et al.
Published: (2024)
by: Lin, Xinying, et al.
Published: (2024)
MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression
by: Jiang, Wei, et al.
Published: (2023)
by: Jiang, Wei, et al.
Published: (2023)
Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts
by: Cui, Han, et al.
Published: (2024)
by: Cui, Han, et al.
Published: (2024)
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models
by: Yu, Weikang, et al.
Published: (2023)
by: Yu, Weikang, et al.
Published: (2023)
No-Reference Image Quality Assessment with Global-Local Progressive Integration and Semantic-Aligned Quality Transfer
by: Wang, Xiaoqi, et al.
Published: (2024)
by: Wang, Xiaoqi, et al.
Published: (2024)
MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction
by: Cui, Jiaqi, et al.
Published: (2024)
by: Cui, Jiaqi, et al.
Published: (2024)
Multi-task Feature Enhancement Network for No-Reference Image Quality Assessment
by: Yu, Li
Published: (2024)
by: Yu, Li
Published: (2024)
Hierarchical Prior-based Super Resolution for Point Cloud Geometry Compression
by: Li, Dingquan, et al.
Published: (2024)
by: Li, Dingquan, et al.
Published: (2024)
DPC-QA Net: A No-Reference Dual-Stream Perceptual and Cellular Quality Assessment Network for Histopathology Images
by: Yang, Qijun, et al.
Published: (2025)
by: Yang, Qijun, et al.
Published: (2025)
Structure Unbiased Adversarial Model for Medical Image Segmentation
by: Zhang, Tianyang, et al.
Published: (2022)
by: Zhang, Tianyang, et al.
Published: (2022)
Textural-Perceptual Joint Learning for No-Reference Super-Resolution Image Quality Assessment
by: Liu, Yuqing, et al.
Published: (2022)
by: Liu, Yuqing, et al.
Published: (2022)
A Novel No-Reference Image Quality Metric For Assessing Sharpness In Satellite Imagery
by: Antonel, Lucas Gonzalo
Published: (2024)
by: Antonel, Lucas Gonzalo
Published: (2024)
Non-Reference Quality Assessment for Medical Imaging: Application to Synthetic Brain MRIs
by: Risager, Karl Van Eeden, et al.
Published: (2024)
by: Risager, Karl Van Eeden, et al.
Published: (2024)
Transferable Learned Image Compression-Resistant Adversarial Perturbations
by: Sui, Yang, et al.
Published: (2024)
by: Sui, Yang, et al.
Published: (2024)
Structural Similarity in Deep Features: Image Quality Assessment Robust to Geometrically Disparate Reference
by: Zhang, Keke, et al.
Published: (2024)
by: Zhang, Keke, et al.
Published: (2024)
SRAW-Attack: Space-Reweighted Adversarial Warping Attack for SAR Target Recognition
by: Zhang, Yiming, et al.
Published: (2026)
by: Zhang, Yiming, et al.
Published: (2026)
PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation
by: Xie, Zhaozhi, et al.
Published: (2024)
by: Xie, Zhaozhi, et al.
Published: (2024)
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment
by: Dong, Guanglu, et al.
Published: (2025)
by: Dong, Guanglu, et al.
Published: (2025)
DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality Assessment
by: Shi, Jinsong, et al.
Published: (2024)
by: Shi, Jinsong, et al.
Published: (2024)
LAR-IQA: A Lightweight, Accurate, and Robust No-Reference Image Quality Assessment Model
by: Avanaki, Nasim Jamshidi, et al.
Published: (2024)
by: Avanaki, Nasim Jamshidi, et al.
Published: (2024)
RELD: Regularization by Latent Diffusion Models for Image Restoration
by: Cascarano, Pasquale, et al.
Published: (2025)
by: Cascarano, Pasquale, et al.
Published: (2025)
Image Quality Assessment With Compressed Sampling
by: Liao, Ronghua, et al.
Published: (2024)
by: Liao, Ronghua, et al.
Published: (2024)
A Sinkhorn Regularized Adversarial Network for Image Guided DEM Super-resolution using Frequency Selective Hybrid Graph Transformer
by: Paul, Subhajit, et al.
Published: (2024)
by: Paul, Subhajit, et al.
Published: (2024)
NutVLM: A Self-Adaptive Defense Framework against Full-Dimension Attacks for Vision Language Models in Autonomous Driving
by: Peng, Xiaoxu, et al.
Published: (2026)
by: Peng, Xiaoxu, et al.
Published: (2026)
Stochasticity-aware No-Reference Point Cloud Quality Assessment
by: Fan, Songlin, et al.
Published: (2024)
by: Fan, Songlin, et al.
Published: (2024)
Similar Items
-
Beyond Score Changes: Adversarial Attack on No-Reference Image Quality Assessment from Two Perspectives
by: Yang, Chenxi, et al.
Published: (2024) -
Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method
by: Yang, Chenxi, et al.
Published: (2024) -
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics
by: Gushchin, Alexander, et al.
Published: (2024) -
Versatile Defense Against Adversarial Attacks on Image Recognition
by: Zhang, Haibo, et al.
Published: (2024) -
Black-box Adversarial Attacks Against Image Quality Assessment Models
by: Ran, Yu, et al.
Published: (2024)